A foreground extraction algorithm based on adaptively adjusted gaussian mixture models

Tianci Huang, Jing Bang Qiu, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Background subtraction is a widely used method for moving object detection in computer vision field. To cope with highly dynamic and complex environments, the mixture of models has been proposed. In this paper, a background subtraction method is proposed based on the popular Gaussian Mixture Models technique and a scheme is put forward to adaptively adjust the number of Gaussian distributions aiming at speeding up execution. Moreover, edge-based image is utilized to weaken the effect of illumination changes and shadows of moving objects. The final foreground mask is extracted by the proposed data fusion scheme. Experimental results validate the performance of proposed algorithm in both computational complexity and segmentation quality.

Original languageEnglish
Title of host publicationNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
Pages1662-1667
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
EventNCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications - Seoul, Korea, Republic of
Duration: 2009 Aug 252009 Aug 27

Publication series

NameNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC

Conference

ConferenceNCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications
CountryKorea, Republic of
CitySeoul
Period09/8/2509/8/27

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Keywords

  • Background subtraction
  • Gaussian mixture model
  • Motion detection

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Software

Cite this

Huang, T., Qiu, J. B., & Ikenaga, T. (2009). A foreground extraction algorithm based on adaptively adjusted gaussian mixture models. In NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC (pp. 1662-1667). [5331586] (NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC). https://doi.org/10.1109/NCM.2009.40